Audience: People who have knowledge in Python programming.
Objectives: At the end of the course, the participant will be able to work with algorithms for Neural Networks
Prerequisites: People who have knowledge in Python programming. An understanding of Python libraries in general.
Method: Local supervisor with trainer in remote
Duration: 24 hours
1 What is Deep Learning?
2 Tensorflow & Keras for Deep Learning
3 Working with Tflearn
4 Convolutional Neural Networks
5 Working with keras for CNN
6 Recurrent and Recursive Nets
7 Recursive Neural Networks
9 Practical Methodology
10 Restricted Boltzmann Machines (RBM)
11 Deep Belief Networks
12 Case Study and Porject
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